Could we calculate the variance explained by each fixed variable when we use linear mixed model?
There is a discussion of variance explained on the Wiki: http://glmm.wikidot.com/faq See the section "How do I compute a coefficient of determination..."
On Sun, Dec 13, 2015 at 8:20 PM, ?? <nefuitphuangru at gmail.com> wrote:
Can we calaulate the respective variance explained by each fixed
variable when we use linear mixed model?
Namely, for R code of linear mixed model: model=lmer(y~x1+x2+(1/x3),data),
x1,x2 are fixed variables, and x3 is random effect. could we compute the
variance of y explained by x1,x2, respective?
[[alternative HTML version deleted]]
_______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models